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Disease Prediction

14 papers with code · Medical

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Greatest papers with code

Deep EHR: Chronic Disease Prediction Using Medical Notes

Machine Learning for Health Care conference 2018 NYUMedML/DeepEHR

Early detection of preventable diseases is important for better disease management, improved inter-ventions, and more efficient health-care resource allocation.

DISEASE PREDICTION

Deep EHR: Chronic Disease Prediction Using Medical Notes

Machine Learning for Health Care conference 2018 NYUMedML/DeepEHR

Early detection of preventable diseases is important for better disease management, improved inter-ventions, and more efficient health-care resource allocation.

DISEASE PREDICTION

Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease

5 Jun 2018parisots/population-gcn

Graphs are widely used as a natural framework that captures interactions between individual elements represented as nodes in a graph.

DISEASE PREDICTION

Spectral Graph Convolutions for Population-based Disease Prediction

8 Mar 2017parisots/population-gcn

We demonstrate the potential of the method on the challenging ADNI and ABIDE databases, as a proof of concept of the benefit from integrating contextual information in classification tasks.

DISEASE PREDICTION

A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks

10 May 2019cair/pyTsetlinMachine

In this paper, we apply a new promising tool for pattern classification, namely, the Tsetlin Machine (TM), to the field of disease forecasting.

DISEASE PREDICTION

MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare

NeurIPS 2018 mp2893/mime

Deep learning models exhibit state-of-the-art performance for many predictive healthcare tasks using electronic health records (EHR) data, but these models typically require training data volume that exceeds the capacity of most healthcare systems.

DISEASE PREDICTION

CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare Records

25 Jan 2020astorfi/cor-gan

To demonstrate the model fidelity, we show that CorGAN generates synthetic data with performance similar to that of real data in various Machine Learning settings such as classification and prediction.

DISEASE PREDICTION IMAGE CLASSIFICATION SYNTHETIC DATA GENERATION

Robust Multiple Kernel k-means Clustering using Min-Max Optimization

6 Mar 2018SeojinBang/MKKC

To address this problem and inspired by recent works in adversarial learning, we propose a multiple kernel clustering method with the min-max framework that aims to be robust to such adversarial perturbation.

DISEASE PREDICTION MULTIVIEW LEARNING

Representation Learning for Medical Data

22 Jan 2020KarolAntczak/multimetapath2vec

We propose a representation learning framework for medical diagnosis domain.

DISEASE PREDICTION MEDICAL DIAGNOSIS REPRESENTATION LEARNING